code: def __init__(
      self,
      dim,
      depth,
      channel,
      kernel_size,
      patch_size,
      mlp_dim,
      dropout=0.0,
  ):
      super().__init__()
      self.ph, self.pw = patch_size
  
      self.conv1 = conv_nxn_bn(channel, channel, kernel_size)
      self.conv2 = conv_1x1_bn(channel, dim)
  
      self.transformer = Transformer(dim, depth, 4, 8, mlp_dim, dropout)
  
      self.conv3 = conv_1x1_bn(dim, channel)
      self.conv4 = conv_nxn_bn(2 * channel, channel, kernel_size)
  
imports: import torch
  import torch.nn
  from einops import rearrange
  from einops.layers.torch import Reduce
label_desc: Use image node_id 1 to create a new MobileViTBlock object from inherited base classes: nn with example: obj = MobileViTBlock(dim, depth, channel, kernel_size, patch_size, mlp_dim, dropout)